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Category Archives: CRU
Spatial integration of global temperatures
The spatial integration method used to calculate the global surface temperature has a large impact on the end result. I am using a 3D method based on spherical triangulation of the weather stations combined with SST results from HadSST3. This … Continue reading
CRUTEM4 is cooler than GHCN-V4
The October 2019 global temperature anomaly that I calculate based on the latest CRUTEM4 station data is 0.15C cooler than that using GHCN-V4 (0.79C as compared to 0.96C). The temperature series are calculated in exactly the same way and both … Continue reading
A comparison of HadCRUT4.6 using Icosahedral binning
The classic HadCRUT processing calculates average surface temperatures on a 5×5 grid in Latitude and Longitude. To calculate the global average a spatial weighting of cos(Lat) must be applied. The main advantage of using a more complex 3D Icosahedral grid … Continue reading
Posted in AGW, Climate Change, climate science, CRU, Hadley
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